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Particle Swarm Optimization Algorithm for the Application of Reactive Power Optimization Problem

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

Abstract

Reactive power system optimization is one of the core thesis of safe and economic operation, reactive power optimization planning is a more complex, multi-target, nonlinear mixed-planning. Its goal is to meet the restrictive conditions under the premise of the system of indicators or more of a target to achieve optimal. Based on the analysis of reactive power distribution network optimization facing difficulties a PSO algorithm is presented, combined with IEEE30 node test system using particle swarm algorithm. The results show that the optimization method is conducive to raising the reactive power distribution network optimization level.

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Authors and Affiliations

  1. Academic affairs Division, EZhou Polytechnic, 436000, HuBei, China

    DianSheng Yang

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  1. DianSheng Yang
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Correspondence to DianSheng Yang .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Yang, D. (2012). Particle Swarm Optimization Algorithm for the Application of Reactive Power Optimization Problem. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_83

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  • DOI: https://doi.org/10.1007/978-3-642-25789-6_83

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

  • eBook Packages: EngineeringEngineering (R0)

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